A Foucauldian Disciplinary Analysis of Early Career Professional Footballers’ Loan Experiences
Bibliographic record
Abstract
While retirement transitions in sports are well-researched from a psychological perspective (Wylleman & Lavallee, 2004; Park, et al., 2013), little focus is given to temporary transitions. My research focuses on the socio-political aspects of the loan system in professional British football utilising Foucault’s (1995) concept of discipline. Six professional football players between 18 and 21 years were interviewed with a focus on their loan experiences. Through a Foucauldian reading of the interview data, I highlight two key themes in the participants’ loan experiences: docile footballing bodies on loan and the loan as a test. This study contributes to our understanding of how young professional players have to tiptoe through a new power-laden environment to handle the pressures that come with the expectations of performing in a new social and disciplinary space.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".